PHASES OF THE PROJECT
PHASE 1
Development of the sensor network architecture
PHASE 2
Definition of design guidelines for the installation of the monitoring architecture
PHASE 3
Implementation of the pilot project
PHASE 4
Development of the predictive maintenance module
PHASE 5
Validation and dissemination of the results
Through a network of wireless sensors based on smartbrick technology, the InSPiRE project will allow the continuous monitoring of two case studies of public housing for the development of the predictive algorithm. The acquisition of information from the sensor network and the management of the dataset originated from the diagnostic campaign by multispectral images are ensured by the Mu.S.A. platform which integrates the different information levels on the operating status of the monitored subject. The result is a strategic tool for decision support to predictive maintenance and management activities which, by implementing intervention procedures on an existing built heritage in limited operating conditions and / or in emergency, increases its useful life and capitalizes its economic value.
Il progetto InSPiRE ha come obiettivo l’implementazione di tecnologie abilitanti integrate a componenti e sistemi edilizi per il monitoraggio, anche in tempo reale, di parametri prestazionali (i.e., energetici, strutturali, di salubrità ambientale e comfort interno, ecc.). Il risultato è uno strumento integrato per la conoscenza dello stato di degrado dei manufatti e di supporto decisionale alle attività di manutenzione predittiva e di gestione del patrimonio costruito esistente, che prevede:
– l’implementazione di una piattaforma collaborativa di monitoraggio real-time basata su reti di sensori remoti e su un’innovativa architettura di sistema che, già validata in laboratorio e in ambiente reale (piattaforma Mu.S.A), è finalizzata al monitoraggio dello stato di conservazione del patrimonio costruito esistente secondo un approccio predittivo all’evoluzione delle manifestazioni di degrado ed alla formazione del danno;
– l’implementazione della piattaforma di imaging diagnostico modulare che, elaborando ed analizzando
i tipi di immagini multispettrali, integri la piattaforma di monitoraggio di uno strumento in grado di identificare tempestivamente la manifestazione di danno e assicurare la condivisione delle immagini e dei report.
Nel medio termine, l’impatto di questi risultati contribuisce alla riduzione dei costi negli interventi manutentivi ed alla gestione efficiente delle risorse, così da favorire l’incremento del ciclo di vita del patrimonio esistente migliorandone l’accessibilità e, nel lungo temine, promuovendo una migliore qualità della vita. Inoltre, le competenze maturate non sono diffuse nella filiera regionale delle costruzioni, e pertanto sono impattanti sia
nella settore dell’Edilizia e Costruzioni, sia nelle ICC.
I risultati attesi sono:
1. Modello predittivo per la caratterizzazione di processi di manutenzione e gestione del patrimonio costruito esistente
2. Applicazione per l’identificazione tempestiva del danno
3. Tecnologie e sistemi integrati intelligenti per l’industria delle costruzioni
4. Costruzione di profili specialistici competenti nella manutenzione predittiva e nella diagnostica per immagini multispettrali
In an ideal world this website wouldn’t exist, a client would acknowledge the importance of having web copy before the design starts. Needless to say it’s very important, content is king and people are beginning to understand that. However, back over in reality some project schedules and budgets don’t allow for web copy to be written before the design phase.
In an ideal world this website wouldn’t exist, a client would acknowledge the importance of having web copy before the design starts. Needless to say it’s very important, content is king and people are beginning to understand that. However, back over in reality some project schedules and budgets don’t allow for web copy to be written before the design phase.
DESCRIPTION
Through a network of wireless sensors based on smartbrick technology, the InSPiRE project will allow the continuous monitoring of two case studies of public housing for the development of the predictive algorithm.
The acquisition of information from the sensor network and the management of the dataset originated from the diagnostic campaign by multispectral images are ensured by the Mu.S.A. platform which integrates the different information levels on the operating status of the monitored subject.
The result is a strategic tool for decision support to predictive maintenance and management activities which, by implementing intervention procedures on an existing built heritage in limited operating conditions and / or in emergency, increases its useful life and capitalizes its economic value.
GOALS
The InSPiRE project is aimed at implementing integrated enabling technologies with building components and systems for monitoring, even in real time, performance parameters (i.e., energy, structural, of environmental health and interior comfort, etc.).
The expected result is an integrated tool for the knowledge of the state of degradation of artifacts, and for decision support to predictive maintenance and management of the existing built heritage activities.
In the medium term, the impact of these results contributes to costs reduction in maintenance interventions and to the efficient management of resources, in order to favour an increasement in the life cycle of existing assets by improving their accessibility and, in the long term, promoting a better quality of life.
ADVANTAGES
The project aims to extend the application of these technologies implemented for monitoring to the existing built heritage, even widespread, through demonstration in an operating environment, for the transferability of the results to systems, construction types and contemporary areas of use.
The project promotes the adoption of interoperable databases (CDE, Common Data Environment or according to UNI acDat terminology) which provide intervention protocols for product and process innovation.
APPLICATIONS
The construction sector shows a general backwardness in industrialization processes which translates in the difficulty to comprehend and absorb the new opportunities offered by digitalization and, in general, of the so called “Knowledge Economy”.
The target markets for the medium and long-term effects of the research result are:
– development of advanced materials, components and systems with a high knowledge value;
– development of integrated services for the management of existing heritage;
– innovation of products and services in the field of sensors applied to the construction industry.